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test_aruco_board.py
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import numpy as np
import matplotlib.pyplot as plt
import cv2
from robot_arm_algos.src.tags_detection.aruco_board import ArucoBoard, ArucoBoardData
from robot_arm_algos.src.camera.camera import Camera
from robot_arm_algos.src.logger import logger
# from robot_arm_algos.src.robot_camera_calibration.data_collector.arucoboard_data_collector import ArucoBoardDataCollector
def main():
camera_matrix = np.array([[909.34179688, 0.0, 643.8762207 ],
[0.0, 908.06414795, 348.60513306],
[0.0, 0.0, 1.0]])
dist_coeffs = np.array([0.0,0.0,0.0,0.0])
camera = Camera(camera_matrix, dist_coeffs)
aruco_board_data = ArucoBoardData(dictionary="DICT_6X6_1000",
marker_length = 0.025,
marker_separation = 0.005,
n_rows = 5,
n_cols = 7)
aruco_board = ArucoBoard(aruco_board_data)
color_image = cv2.imread("tests/data/aruco_board_test.png")
corners, ids, _ = aruco_board.detect_markers(color_image)
image_gray = cv2.cvtColor(color_image, cv2.COLOR_BGR2GRAY)
aruco_board.refine_corners(image_gray, corners)
obj_points, img_points = aruco_board.get_matched_object_points(corners, ids)
rvec, tvec = aruco_board.estimate_pose(obj_points, img_points, camera)
reproj_error, error_variance = aruco_board.compute_reprojection_error(rvec,
tvec,
obj_points,
img_points,
camera)
logger.info(f"reprojection error = {reproj_error}, error_variance = {error_variance}")
aruco_board.draw_detections(color_image, corners)
aruco_board.draw_estimated_frame(color_image, camera, rvec, tvec)
plt.imshow(color_image)
plt.show(block=False)
plt.pause(4.0)
plt.close()
assert(aruco_board.fiducial_type == "aruco_board")
if __name__ == "__main__":
main()